5480 Deep Learning Jobs - Page 22

General Summary: As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities: The job responsibilities may include a subset of the following: Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading

Roles and Responsibilities Design and deliver high-quality training programs on data science, machine learning, artificial intelligence, natural language processing, and deep learning. Develop engaging course materials, including presentations, tutorials, and hands-on exercises. Conduct interactive sessions to facilitate knowledge sharing among participants. Provide individualized support to trainees through email or chat platforms. Collaborate with subject matter experts to ensure accuracy of course content. Desired Candidate Profile 3-8 years of experience in teaching/training or related field (data science/machine learning). B.Tech/B.E. degree from a reputed institution in Any Specialization. Strong expertise in Python programming language with proficiency in libraries such as NumPy Pandas etc.

Role - Sr. Data Scientist Experience - 5+ Years Duration - 6 months contract (either extension or internalisation after that) Location - Bangalore (Hybrid) Start - Within two weeks Required Qualifications: PhD or masters degree in computer science, Biomedical Engineering, Applied Mathematics, or a related field. • 5+ years of experience in data science or machine learning, with at least 3 years focused on medical imaging. • Strong experience in deep learning frameworks (TensorFlow, PyTorch) and model architectures for computer vision. • Practical exposure to foundation models, including prompt engineering, fine-tuning, and domain adaptation. • Proven ability to work with 2D/3D imaging datasets (DICOM, NIfTI), and medical imaging toolkits (e.g., MONAI, SimpleITK, ITK-SNAP). • Expertise in evaluation metrics specific to medical imaging (Dice, IoU, AUC, etc.) and experience working with imbalanced datasets. • Solid understanding of healthcare data compliance (HIPAA, FDA, MDR) and medical device AI/ML lifecycle. • Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: • Publications or patents in AI for healthcare or medical imaging domains. • Experience with PACS/RIS systems, HL7/DICOM standards, and clinical workflows. • Familiarity with LLMs or multimodal generative models in a clinical context. • Exposure to MLOps, model deployment, and on-device inference optimization (e.g., TensorRT, ONNX, OpenVINO).

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologiesincluding large language models (LLMs), computer vision, machine learning, and data scienceto solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture. Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions. Own the AI/ML lifecyclefrom prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks. Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment. Expertise in prompt engineering, agentic workflows, and custom LLM development. Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods. Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring. Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies. Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications: 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs. Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost. Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc. Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc. Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies. Hands-on with deep learning frameworks such as PyTorch and TensorFlow. Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc. Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools. Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB). Familiarity with caching systems like Redis and Memcached. Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred: Experience in leading enterprise-scale AI/ML deployments. Contributions to open-source GenAI/ML projects. Certifications in AWS AI/ML or equivalent.

Job type : CONTRACT Location : Remote (Chennai) {possible to travel Chennai for meetings} Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job type : CONTRACT Location : Remote (Chennai) {possible to travel Chennai for meetings} Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job Position :Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India.Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. Our DeepTech Startup was founded on the core R and D which our serial Digital Health Startup Entrepreneur, StartupGuru and Founder and CEO and Chief R and D | AI Health Innovation Officer | Chief Business Strategy Officer I Chief Digital Health Officer has developed over his strong 28 Years Health Technology experience of Science and Technology driven by ( Digital Health, AI Health, Telemedicine, Big Data, Blockchain, and IoT ) Disruption and Innovation will replace many Big Players Globally from the Market in no time "Just like Smart Phone company demonetized / Replaced the entire Button Phone Big giants Multi-National Companies globally".

Job type : CONTRACT Required Skills : - 10+ years of experience in building highly scalable software systems/platforms. - Strong proficiency in building software systems in the cloud and/or Kubernetes/docker. - Experience building elegant technical architectures that solve complex customer problems. - Strong hands-on experience in one or more object-oriented programming languages, preferably Python. - Solid experience in API development and API lifecycle management - Strong expertise in data persistence using SQL databases, NoSQL databases, SQL and others. - Experience in one or more areas: Generative Al architectures, ML models, Deep Learning models, Transformer based models. - Proven ability to mentor team members in designing, developing, debugging complex software stacks and to develop their technical capabilities. - Experience with the full software lifecycle in highly agile and ambiguous environments - Excellent interpersonal and communication skills. - Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills Preferred Skills : - Strong expertise in architecting and building scalable, cloud native software products, using cloud APIs, in one or more public clouds, preferably GCP, utilizing serverless, SQL and NoSQL databases, observability, messaging (pub/sub), API services, IAM, OAuth, OCR, Cloud storage and more. - Good understanding of web technologies, such as JavaScript, and web frameworks such as React, Angular or others. - Experience with IAC, preferably terraform.

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts

Job Description: Trainer NLP, ANN & Deep Learning Location: Gurugram Employment Type: Contract Basis (Q Academy Payroll) About Q Academy Q Academy enables students to gain expertise in advanced AI concepts through practical, research-oriented learning. Key Responsibilities Deliver lectures in Natural Language Processing, Artificial Neural Networks, and Deep Learning. Conduct labs and guide projects in AI/ML. Prepare learning material, case studies, and assessments. Mentor students on industry use cases. Qualifications Master’s degree (M.Tech/M.E./M.Sc.) or PhD in AI/ML, Data Science, or Computer Science. Skills Required Expertise in NLP techniques, deep learning (CNN, RNN, Transformers), and machine learning. Hands-on with TensorFlow, PyTorch, NLTK, SpaCy, Keras. Strong coding in Python.

Job description Position : AI/ML (Gen AI) Experience : 5+ years of experience in AI/ML Work Mode : Office Work Location : Bangalore, Pune, Hyderabad, Ahmedabad, Mumbai, Coimbatore , Chennai Interview Mode : 1st round Virtual | 2nd round F2F at Apexon About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Job Description : We are seeking a highly skilled and motivated Software Developer with a strong background in Python to join our team. The ideal candidate will have a passion for developing automation tools to streamline our operations and reduce repetitive tasks. Additionally, the candidate will have the opportunity to contribute to our Gen AI projects, making this a great opportunity for those interested in the AI field. Responsibilities Candidate should have a minimum of 6+ years overall Experience Relevant should be at least 3- 5 years with lead exp Design, develop, and implement AI applications using Python or C#. Work on Gen AI projects and develop tools that help the organization in reducing repetitive jobs. Collaborate with cross-functional teams to define, design, test and ship new features. Conduct regular testing of systems and software to ensure optimal functioning. Troubleshoot and resolve issues and defects in AI applications. Stay updated with the latest industry trends and technologies to ensure applications are current. Provide technical guidance and coaching to developers and engineers. Skills Proven experience as an AI Developer or similar role. Proficiency in Python Good understanding multiple of Gen AI models (ChatGPT, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. Good understanding of RAG Multi agents frameworks to create workflows Langchain or similar tools like lamaindex, langgraph etc. Knowledge of Machine Learning frameworks, libraries, and tools. Strong understanding of algorithms and data structures. Excellent problem-solving skills and solution mindset Strong communication and teamwork skills. Ability to work independently and manage ones time effectively. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leave Learning & Career Development Employee Wellness

Educational Requirements Bachelor of Engineering Service Line Strategic Technology Group Responsibilities Design, develop, and train transformer-based models for multiple-modality to support a variety of AI-powered applications.- Experiment with various architectures, training techniques, and optimization methods to improve the model's understanding and generative capabilities.- Innovate robust and scalable architectures to accommodate the future requirements.- Troubleshoot and debug model issues, ensuring the models remain robust and adaptable. Additional Responsibilities: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred).- Proven experience in training models (both text and multi-modal models).- Strong knowledge of transformer architectures and their underlying principles.- Experience with model pre-training, finetuning and distributed training.- One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS). Technical and Professional Requirements: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team. As an Researcher, you will work on architecting, building, refining, and optimizing state-of-the-art Models that drive cutting-edge multi-modal, multi-domain understanding and generation capabilities. If you have experience building LLM/SLM/Multimodal models, we would love to hear from you. Preferred Skills: Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai

Applications are invited for the Project Associate-I for the MoES funded project under Deep Ocean Mission scheme in the School of Computer Science and Engineering (SCOPE), at Vellore Institute of Technology (VIT), (MoES/PAMC/DOM/58/2023 (E-14510) Title of the Project : Design and Development of Machine Learning Models and Expert System for Automated Characterization of Underwater Species: Indian Scenario Qualification : BE/B.Tech(CSE/IT/ECE/EEE) Describe if any : Candidates who have knowledge in programming, app development, image processing, full stack development, machine learning, deep learning and computer related field will be given preference Stipend : Rs. 31,000/- per month + HRA (as per norms) for applicants with CSIR –UGC NET including lectureship (Assistant Professorship) or GATE Rs. 25000/- per month + HRA (as per norms) for applicants who do not fall under (i) above Sponsoring Agency : Ministry of Earth sciences, Government of India, New Delhi . Duration : 24 Months Principal Investigator : Dr. Swathi J N, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. Boominathan P, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Dr. Shashank Mouli Satapathy, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before (12 /9/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.

Implement and innovate upon state-of-the-art AI frameworks. You will be working hands-on to build systems for: Multimodal visual understanding. Transparent and verifiable logical reasoning. Powerful, internet-enabled tool-using agents. Job/soft skill training

Job Description Summary GE Vernovas Advanced Research business is the central innovation engine for GEs portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 300+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future. We are seeking a highly motivated and skilled researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Research Engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions. Job Description Roles and responsibilities Develop innovative algorithms and methodologies in artificial intelligence and machine learning (AIML) tailored for process and product development. Analyse extensive datasets to identify patterns, trends, and insights, focusing on diagnostics and prognostics for large-scale energy equipment. Implement and enhance AIML algorithms and models for optimal performance. Design and execute experiments to evaluate the efficacy and reliability of AIML-based solutions. Document research findings, methodologies, and implementation details for effective knowledge sharing and future reference. Collaborate with cross-functional teams, including engineers, researchers, and product managers, to integrate AIML solutions into existing system platforms. Stay informed on advancements in AIML, control systems, and signal processing engineering through literature reviews and participation in relevant conferences and seminars. Research, conceptualize, and develop AI solutions for complex industrial challenges. Work collaboratively with fellow researchers on ongoing and new projects. Demonstrate the value of AI through early prototypes and solutions addressing real-world problems. Utilize software libraries, tools, and practices to implement efficient, scalable, and reusable solutions. Contribute to intellectual property development by writing invention disclosures and filing patents. Publish research in scientific journals and present findings at conferences. Required Qualifications PhD with 2 - 5 Years Experience or Masters degree with 5 - 7 Years Experience from a reputed institution in Computer Science or other engineering field. Strong understanding of fundamental concepts in statistics, machine learning, and artificial intelligence. Proficiency in programming languages commonly used in AIML applications such as Python, PySpark, PyTorch, Pandas, or similar. Experience with data analysis and manipulation using tools like Pandas and NumPy. Familiarity with software development best practices, including version control (e.g., Git) and agile methodologies. Basic knowledge of cloud-based architectures Excellent problem-solving skills and ability to think critically and creatively. Strong communication skills and ability to work effectively in a collaborative team environment. Demonstrated ability to build prototypes and quickly develop proof of concepts to show solution feasibility. Additional Information Relocation Assistance Provided: Yes

Key Responsibilities: Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects. Lead the development, deployment, and adoption of open source LLM models to do text classification, building sentiment models. Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives. Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture. Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines Translate insights into relevant business recommendations, anticipating the needs of business stakeholders. Research prior work to inform and develop models and algorithms and quantify appropriate metrics & targets Required Qualifications, Experience & Skills Education Bachelor's degree in computer science or Equivalent experience Experience 6 to 10 years Data Science experience covering ML, DL and GenAI 2+ years of experience building end-to-end data science applications using dash, Flask, Streamlit and Django etc. (Preferred) Skills Experience with building end-to-end data science applications Experience with NLP and LLM fine tuning Experience with cultural transformation to CI/CD and MLOps Experience with Azure MLOps or other SDLC tools Experience with Agile methodologies Experience building applications using fast APIs. Experience in a start-up, fast-growth, rapid-change environment Must be self-motivated, dedicated to quality and must always strive to do the right thing Preferred Qualifications: Experience with HTML, CSS, JavaScript, version control using Git. Experience with Containers and Kubernetes Experience with TensorFlow, Pytorch etc.

We are seeking a highly motivated and skilled senior researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Senior research engineer, you will have the opportunity to work closely with our experienced engineers and researchers on cutting-edge projects that leverage AIML techniques for the development of state-of-the-art prognostics, diagnostic and modelling solutions. Roles and Responsibilities Lead the development of advanced algorithms and methodologies in artificial intelligence and machine learning (AIML) to drive process and product innovation. Oversee the analysis of extensive datasets to identify complex patterns, trends, and insights, with an emphasis on diagnostics and prognostics for large-scale energy equipment. Architect and optimize AIML algorithms and models to ensure superior performance and scalability. Design, conduct, and supervise experiments to assess the efficacy and reliability of AIML-based solutions. Document and disseminate research findings, methodologies, and implementation strategies for effective knowledge sharing and future reference. Collaborate with and guide cross-functional teams, including engineers, researchers, and product managers, to seamlessly integrate AIML solutions into existing system platforms. Stay at the forefront of advancements in AIML, control systems, and signal processing engineering, through literature reviews, and active participation in conferences and seminars. Lead research initiatives to conceptualize and develop AI solutions for complex industrial challenges. Mentor junior researchers and contribute to project leadership, ensuring alignment with strategic objectives. Demonstrate the impact of AI through advanced prototypes and solutions that address real-world problems. Utilize and advocate for best practices in software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions. Drive intellectual property development by authoring invention disclosures and filing patents. Publish research in high-impact scientific journals and present findings at leading conferences. Required Qualifications PhD with 5-10 years of relevant experience or a master's with 8-13 years of relevant experience from a reputed institution. Extensive understanding and experience in machine learning, artificial intelligence, and related fields. Proven track record of applying multiple advanced AIML concepts to practical applications. Proficiency in programming languages and frameworks commonly used in AIML applications, such as Python, TensorFlow, PyTorch, and others. Expertise in data analysis and manipulation using tools like pandas, NumPy, and proficiency in software development best practices, including version control (e.g., Git) and agile methodologies. Strong leadership capabilities, excellent problem-solving skills, and ability to think critically and creatively. Superior communication skills and ability to lead, mentor, and work effectively in a collaborative team environment. Demonstrated ability to build advanced prototypes and rapidly develop proof-of-concepts to illustrate solution feasibility. Additional Information Relocation Assistance Provided: Yes

Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business. As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise. Roles & Responsibilities : Technical Leadership Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP). Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations . Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits. Engineering/Technology Practices Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in ones own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes. Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs. Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues. Competency Governance Develop technical competencies by establishing and delivering structured technical training schemes within ones own business lines. Support Consulting Engineers in reviewing Engineering competency frameworks specific to ones own business line. People Development Actively support Consulting Engineers with staff development & succession planning. Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer. Actively mentor and coach identified high potential Engineering talents within ones business lines. Required Qualifications/Experience: Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics. At least 10 years of experience in an engineering capacity Desired Characteristics Experience with Machine Learning technologies, and software systems architecture Ability to work across organizations in a matrix environment Preferably having taken a Senior Engineer role Strong oral and written communication skills Strong interpersonal, responsive and leadership skills Problem analysis and resolution skills Able to pursue Engineering integrity in adverse conditions Able to interface effectively with most levels of the organization Lean experience preferred Additional Information Relocation Assistance Provided: No #LI-Remote - This is a remote position Location - Noida,Pallavaram,Hyderabad,Bengaluru

- Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles.

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.